A predictive control scheme for automated demand response mechanisms

I. Lampropoulos, P.P.J. Bosch, van den, W.L. Kling

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademic

14 Citations (Scopus)

Abstract

The development of demand response mechanisms can provide a considerable option for the integration of renewable energy sources and the establishment of efficient generation and delivery of electrical power. The full potential of demand response can be significant, but its exploration still remains a challenge mainly due to the non-homogeneity and the distributed nature of energy resources. Recent advances in information and communication technologies create new opportunities for close to real-time adaptation of the demand for electricity to the actual system needs. However, there have been many different approaches in transforming this vision into practical applications. Herewith, a novel control scheme for automated demand response mechanisms is proposed based on the application of predictive control techniques. The proposed scheme supports the large-scale implementation of demand response programs, and captures the planning phase, the real-time operations, the verification of the energy and service provision, and the financial settlement.
Original languageEnglish
Title of host publicationProceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe), 14-17 October 2012, Berlin, Germany
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1-8
ISBN (Print)978-1-4673-2596-7
DOIs
Publication statusPublished - 2012
Event3rd IEEE (PES) Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2012) - Berlin, Germany
Duration: 14 Oct 201217 Oct 2012
Conference number: 3
http://www.ieee-isgt-2012.eu

Conference

Conference3rd IEEE (PES) Innovative Smart Grid Technologies Conference Europe (ISGT Europe 2012)
Abbreviated titleISGT Europe 2012
CountryGermany
CityBerlin
Period14/10/1217/10/12
Internet address

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